Sommer C, Dressler F. Information dissemination in vehicular networks. In: Vehicular Communications and Networks. ; 2015. doi:10.1016/b978-1-78242-211-2.00004-0
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Sommer C, Härri J, Hrizi F, Schünemann B, Dressler F. Simulation Tools and Techniques for Vehicular Communications and Applications. In: Vehicular Ad Hoc Networks. Cham; 2015. doi:10.1007/978-3-319-15497-8_13
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Kampmann M, A. Kochte M, Schneider E, Indlekofer T, Hellebrand S, Wunderlich H-J. Optimized Selection of Frequencies for Faster-Than-at-Speed Test. In: 24th IEEE Asian Test Symposium (ATS’15). Mumbai, India: IEEE; 2015:109-114. doi:10.1109/ats.2015.26
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Schäfer D, Hüllermeier E. Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations. In: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal. ; 2015:110-111.
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Busjahn T, Bednarik R, Begel A, et al. Eye movements in code reading: relaxing the linear order. In: ICPC. IEEE Computer Society; 2015:255-265.
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Dagiene V, Schulte C, Jevsikova T, eds. Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, ITiCS 2015, Vilnius, Lithuania, July 4-8, 2015. ACM; 2015.
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Paul A, Hüllermeier E. A cbr approach to the angry birds game. In: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany. ; 2015:68-77.
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Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation in monocular images: Quantitative versus qualitative approaches. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany. KIT Scientific Publishing; 2015:235-240.
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Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.
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Chen W-F, Chen M, Ku L-W. Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording. In: Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications. ; 2015:144-153.
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Chen W-F, Ku L-W, Lee Y-H. Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example. In: 2015 AAAI Spring Symposium Series. ; 2015.
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Chen W-F, Lee Y-H, Ku L-W. Topic-based Stance Mining for Social Media Texts. In: International Conference on HCI in Business. ; 2015:22-33.
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Chen W-F, Chen M-H, Chen M-L, Ku L-W. A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering. 2015;28(5):1093-1104.
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Böttcher S, Hartel R, Jacobs T, Maneth S. OnlineRePair: A Recompressor for XML Structures. In: 2015 Data Compression Conference. Springer; 2015:439. doi:10.1109/dcc.2015.58
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Böttcher S, Hartel R, Jacobs T, Jeromin M. ECST – Extended Context-Free Straight-Line Tree Grammars. In: Data Science - 30th British International Conference on Databases, BICOD 2015. Springer; 2015:186-198. doi:10.1007/978-3-319-20424-6_18
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Dunst A, Hartel R, Hohenstein S, Laubrock J. Digitale Analyse Graphischer Literatur. In: DHd-Tagung 2015 - Von Daten Zu Erkenntnissen. ; 2015.
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Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
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Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
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Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299.
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Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
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